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jorisvandenbossche merged 2 commits into from
Mar 10, 2017
Merged

DOC: add examples to DataFrame.dropna #15620

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0d41488
add examples to DataFrame.dropna
JennaVergeynst Mar 8, 2017
1561944
Fix accidental removal
jorisvandenbossche Mar 10, 2017
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44 changes: 44 additions & 0 deletions pandas/core/frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3079,6 +3079,50 @@ def dropna(self, axis=0, how='any', thresh=None, subset=None,
Returns
-------
dropped : DataFrame

Examples
--------
>>> df = pd.DataFrame([[np.nan, 2, np.nan, 0], [3, 4, np.nan, 1],
... [np.nan, np.nan, np.nan, 5]],
... columns=list('ABCD'))
>>> df
A B C D
0 NaN 2.0 NaN 0
1 3.0 4.0 NaN 1
2 NaN NaN NaN 5

Drop the columns where all elements are nan:

>>> df.dropna(axis=1, how='all')
A B D
0 NaN 2.0 0
1 3.0 4.0 1
2 NaN NaN 5

Drop the columns where any of the elements is nan

>>> df.dropna(axis=1, how='any')
D
0 0
1 1
2 5

Drop the rows where all of the elements are nan
(there is no row to drop, so df stays the same):

>>> df.dropna(axis=0, how='all')
A B C D
0 NaN 2.0 NaN 0
1 3.0 4.0 NaN 1
2 NaN NaN NaN 5

Keep only the rows with at least 2 non-na values:

>>> df.dropna(thresh=2)
A B C D
0 NaN 2.0 NaN 0
1 3.0 4.0 NaN 1

"""
inplace = validate_bool_kwarg(inplace, 'inplace')
if isinstance(axis, (tuple, list)):
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